How I Reduced Cloud Costs by 70%
A deep dive into building a BigQuery Health Checkup Framework, identifying huge non-partitioned tables and unfiltered scans to stop silent cost climbing.
Read InsightSpecializing in bulding AI agents for RDBMS Migration, Cloud Architecture, and Query Optimization. Bridging the gap between legacy systems and modern AI-driven cloud architectures.
About Me
AI-enabled Data Platform Architect with over 11 years of experience across
Procurement, Banking, and Retail. I specialize in blending advanced query optimization,
intelligent metadata systems (like MCP and RAG), and scalable cloud architectures to build
high-availability, cost-efficient analytics ecosystems.
My focus is on transforming reactive data operations into automated, performance-optimized
platforms through Agile methodologies, seamless cloud migrations, and rigorous scalability
planning.
Featured Work
8+ production-ready tools built to eliminate manual work, reduce costs, and accelerate database operations.
Automated system to scan metadata and query logs, flagging costly anti-patterns like non-partitioned hot tables.
Tailored solution for seamless data migration to Google BigQuery with zero downtime.
Programmatic tooling to analyze and optimize query performance automatically.
Security and compliance scanning for data repositories with automated alerts.
Standardizing DB code deployment to accelerate new client onboarding by 65%.
Real-time monitoring system for tracking schema changes across environments.
Enterprise Footprint
High-impact database architectures designed for AI-driven products and large-scale global enterprise domains.
Re-designed tabular structures for GBQ and PostgreSQL, reducing query costs by 70% and processing times by 50%.
Architected a 100M+ record platform, integrated with MCP & RAG frameworks, achieving 99.9%+ SLA reliability with sub-second latency.
Optimized 7 Billion datasets hitting 100M records/sec throughput, utilizing ClickHouse engines to reduce data latency from minutes to less than 2s.
Engineered a semantic RAG framework with automated SQL validation reducing query hallucination costs by 50% and latency by 80%.
Data architect spanning 47 geographies. Integrated real-time Kafka event streams between PostgreSQL/Oracle boundaries.
Engineered machine-first Control-M automation processing reducing business cycle delays by 8 hours per month (45 Geographies).
Career Journey
A decade-long progression from developer to technical leader, driving innovation across enterprise and startup ecosystems.
Technical Writing
Deep dives into database architecture, cloud optimization, and performance engineering from real-world implementations.
A deep dive into building a BigQuery Health Checkup Framework, identifying huge non-partitioned tables and unfiltered scans to stop silent cost climbing.
Read InsightA comparative analysis of Azure Cosmos DB (Citus) vs. Flexible Server. Validated cross-cloud compatibility and achieved sub-second execution on complex procedures.
Read InsightArchitecting a dedicated reporting layer in PostgreSQL to decouple analytical reads from transactional writes, achieving sub-second API responses.
Read InsightA strategic guide on when to use (and avoid) Materialized Views, CTEs, and Partitioning. Key insight: Consolidating CTEs at the same granularity unlocked massive runtime reductions.
Read Insight